Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 19 of 19
Ab Initio No-Core Shell Model
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
Natural SciencesParticles, Nuclei and Fields
Automatic Code Parallelization
The Software-Factory 4.0 (SF4.0) is a 4-year LOEWE1 project funded by the German State of Hesse and involves several ...
Engineering SciencesComputer Science
Bayesian Inference of Cyclic Transcription Dynamics
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Correctness Checking of MPI Derived Datatypes Using TypeART
The message passing interface (MPI) is the de-facto standard for distributed high performance computing. However, it ...
Engineering SciencesComputer Science
Designing an Efficient Neural Architecture Search
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Engineering SciencesComputer Science
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions
Trajectory optimization and model predictive control are essential techniques underpinning advanced robotic applications ...
Engineering SciencesComputer Science-
From RNA Sequence to Coarse-Grained Molecular Dynamics
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics 
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure II
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
Natural SciencesParticles, Nuclei and Fields
Influence of Mixing Processes on the Performance of High-Pressure Polymerization I
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Engineering SciencesProcess Engineering, Technical Chemistry-
Inverse Reinforcement Learning by Matching Feature Distributions
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
Engineering SciencesComputer Science 
Learning Physically Interactive Behaviours for Human-Robot Interaction
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
Engineering SciencesComputer Science
Matrix Elements of New Families of Chiral Interactions
The goal of ab initio nuclear structure theory is the description of nuclei from first principles without uncontrolled ...
Natural SciencesParticles, Nuclei and Fields
Measure-Valued Derivatives for Reinforcement Learning
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
Engineering SciencesComputer Science
Modeling of Large Proteins in DNA Repair
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
Natural SciencesEngineering SciencesComputer Science-
Noise Resilient Empirical Performance Modeling with Deep Neural Networks
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Engineering SciencesComputer Science 
Precision Scale Setting Directly at High Temperatures Using Gradient Flow
The overarching goal of our research project is the determination of the QCD topological susceptibility Xtop(T) at very ...
Natural SciencesParticles, Nuclei and Fields
Scalability of OpenMP
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
Engineering SciencesComputer Science
Testing and Development of Methods for the Calculation of Phase Diagrams of Interatomic Potentials
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
When to Trust Your Model in Model-based Value Expansion?
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Engineering SciencesComputer Science
